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Senior Data Analyst
hace 2 meses
We are seeking a highly skilled Senior Data Analyst to join our team at EPAM Systems and help drive business growth by creating compelling data visualizations.
In this role, you will maintain and optimize data pipelines, conduct advanced analysis, and collaborate with cross-functional teams to enhance user experience and gather valuable feedback.
This position is ideal for a data enthusiast who thrives in a dynamic environment and is passionate about transforming raw data into meaningful and impactful business insights.
Key Responsibilities- Data Pipeline Management: Build and maintain efficient data pipelines to ensure data integrity and availability.
- Advanced Analysis: Perform in-depth analysis to unearth trends and patterns that lead to actionable insights.
- Dashboard Development: Design and implement robust dashboards and visualization tools to enhance data accessibility.
- Collaboration: Collaborate with cross-functional teams to gather requirements and deliver analysis findings.
- Problem-Solving: Address complex data challenges and propose creative data solutions to meet business needs.
- ETL Optimization: Optimize existing ETL processes and contribute to the development of new ETL solutions.
- Data Warehouse Architecture: Refine and enrich data warehouse architecture to improve data storage and retrieval.
- Feedback and Iteration: Conduct regular feedback sessions to iterate on visualization UX/UI and improve user engagement.
- Documentation: Maintain rigorous documentation for all data processes and analytic reports.
- SQL Proficiency: Proficiency in SQL for complex querying and data manipulation.
- Data Visualization: Background in data visualization and effective dashboard creation.
- ETL Experience: Experience optimizing ETL processes and applying business logic.
- Data Warehousing: Understanding of data warehousing principles, including database design and storage methods.
- UNIX Environment: Competency in working in a UNIX environment and familiarity with version control systems.
- Statistical Analysis: Knowledge of statistical analysis techniques to derive insights from large datasets.
- Machine Learning: Experience with machine learning algorithms and predictive modeling.
- Big Data Technologies: Familiarity with big data technologies such as Hadoop or Spark.
- Competitive Salary: A competitive salary and benefits package.
- Professional Development: Opportunities for professional growth and development.
- Collaborative Environment: A collaborative and dynamic work environment.
- Recognition and Rewards: Recognition and rewards for outstanding performance.
- Flexible Work Arrangements: Flexible work arrangements to support work-life balance.
